The goal of facetsr is to create an R wrapper for facets.

I watched the presentation from RStudio 2020 Conf on Data, visualization, and designing AI - Fernanda Viegas & Martin Wattenberg. Facets library discussed there were quite inspiring but I couldn’t find an R wrapper for that so I have created my own. I believe it can be used for more than just AI data. You can take a look but, please, note the package is just a proof of concept.

If you find it useful, I’d appreciate your feedback.

• Facetes homepage
• RStudio 2020 Conf Keynote Presentation

You can install the released version of facetsr from github with:

remotes::install_github("openpharma/facetsr")

This is a basic example which shows how to start using facets.

library(facetsr) # facets dive facets_dive(iris) # facets overview facets_overview(iris) facets_overview(list(list(data = iris, name = "iris"), list(data = cars, name = "cars")))

You can use facetsr in shiny apps.

Example:

# app.R library(shiny) library(facetsr) server <- function(input, output, session) { output$facets<- render_facets({ facets(iris) }) } ui <- fluidPage( facets_output("facets") ) shinyApp(ui = ui, server = server)

Note: For Rmarkdown only facets_div is working.

Use standard R chunks to load librarry

```{r facets_dive} facets_dive(datasets::airquality) ``` 

Just don’t hesitate of contact me or opening pull request.